Perplexity CEO Aravind Srinivas Says AI May Return Computer Science to Its Math and Physics Roots

The world of technology has always been evolving, but the rapid rise of artificial intelligence has made many people rethink the future of work. Recently, Aravind Srinivas, the Perplexity CEO, added momentum to this conversation. By supporting a viral social media post, he hinted that because of AI, computer science might slowly return to its original roots of deep thinking based on mathematics and physics.

At first glance, this idea may sound worrying for developers. However, many experts believe it could also mark the beginning of a new and more advanced phase in technology.

How AI is changing the world of coding

Over the past few years, large language models, often called LLMs, have made coding much easier and faster. Tasks that once required developers to spend hours writing repetitive code can now be handled by AI tools in seconds.

Tools like GitHub Copilot have accelerated this shift. A study found that developers using such tools were able to complete their tasks about 55 per cent faster. This clearly shows that AI is no longer just a helper. It is gradually transforming the way software development itself works.

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What major AI leaders are saying

Several technology leaders have openly shared their thoughts about this transformation.

Dario Amodei, CEO of Anthropic, believes that within the next 6 to 12 months, AI could handle many tasks currently performed by software engineers. He even mentioned that some engineers are beginning to guide AI systems instead of writing code directly.

Similarly, leaders at Replit have suggested that the traditional definition of a software engineer could slowly change as AI tools become more powerful.

Will software engineers still be needed?

This is perhaps the most important question in the discussion. While AI can already handle many routine coding tasks, the reality is more complex. Designing complex systems, solving entirely new technical problems, and ensuring that large systems work reliably still require human expertise, experience, and judgment.

Because of this, senior engineers remain extremely valuable. Their ability to verify, guide, and design systems is something AI still struggles to fully replicate.

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Computer science may return to deeper thinking

One interesting effect of AI tools is that developers are spending less time on repetitive coding and more time thinking about bigger problems.

Instead of focusing only on writing syntax correctly, engineers are now thinking about how systems behave at scale, how failures might occur, and what design choices lead to better long-term solutions.

These questions rely heavily on logic, mathematics, and scientific reasoning. For this reason, many experts believe computer science may be returning to its deeper intellectual foundations.

Education may also need to evolve

The influence of AI is not limited to workplaces. It may also reshape how computer science is taught. According to the founder of Code.org, future education may focus less on memorising coding syntax and more on developing logical reasoning, system design skills, and problem-solving abilities.

Such changes could prepare the next generation of developers to work effectively alongside AI.

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Conclusion

The discussion around AI replacing software engineering jobs brings both concern and opportunity. While AI may automate many routine coding tasks, it also opens the door for engineers to focus on more creative, complex, and meaningful challenges.

Coding itself is unlikely to disappear. Instead, it may evolve into a more strategic and intellectually demanding discipline in the years ahead.

Disclaimer:

This article is based on publicly available reports, expert statements, and discussions within the technology industry. Its purpose is to provide informational insights only. As technology continues to evolve rapidly, the situation and predictions mentioned may change over time.